1 /*$Id: sbaijov.c,v 1.65 2001/08/06 21:15:42 bsmith Exp $*/ 2 3 /* 4 Routines to compute overlapping regions of a parallel MPI matrix. 5 Used for finding submatrices that were shared across processors. 6 */ 7 #include "src/mat/impls/sbaij/mpi/mpisbaij.h" 8 #include "petscbt.h" 9 10 static int MatIncreaseOverlap_MPISBAIJ_Once(Mat,int,IS *); 11 static int MatIncreaseOverlap_MPISBAIJ_Local(Mat,int *,int,int **,PetscBT*); 12 13 #undef __FUNCT__ 14 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ" 15 int MatIncreaseOverlap_MPISBAIJ(Mat C,int is_max,IS is[],int ov) 16 { 17 Mat_MPISBAIJ *c = (Mat_MPISBAIJ*)C->data; 18 int i,ierr,N=C->N, bs=c->bs; 19 IS *is_new; 20 21 PetscFunctionBegin; 22 ierr = PetscMalloc(is_max*sizeof(IS),&is_new);CHKERRQ(ierr); 23 /* Convert the indices into block format */ 24 ierr = ISCompressIndicesGeneral(N,bs,is_max,is,is_new);CHKERRQ(ierr); 25 if (ov < 0){ SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Negative overlap specified\n");} 26 for (i=0; i<ov; ++i) { 27 ierr = MatIncreaseOverlap_MPISBAIJ_Once(C,is_max,is_new);CHKERRQ(ierr); 28 } 29 for (i=0; i<is_max; i++) {ierr = ISDestroy(is[i]);CHKERRQ(ierr);} 30 ierr = ISExpandIndicesGeneral(N,bs,is_max,is_new,is);CHKERRQ(ierr); 31 for (i=0; i<is_max; i++) {ierr = ISDestroy(is_new[i]);CHKERRQ(ierr);} 32 ierr = PetscFree(is_new);CHKERRQ(ierr); 33 PetscFunctionReturn(0); 34 } 35 36 typedef enum {MINE,OTHER} WhoseOwner; 37 /* data1, odata1 and odata2 are packed in the format (for communication): 38 data[0] = is_max, no of is 39 data[1] = size of is[0] 40 ... 41 data[is_max] = size of is[is_max-1] 42 data[is_max + 1] = data(is[0]) 43 ... 44 data[is_max+1+sum(size of is[k]), k=0,...,i-1] = data(is[i]) 45 ... 46 data2 is packed in the format (for creating output is[]): 47 data[0] = is_max, no of is 48 data[1] = size of is[0] 49 ... 50 data[is_max] = size of is[is_max-1] 51 data[is_max + 1] = data(is[0]) 52 ... 53 data[is_max + 1 + Mbs*i) = data(is[i]) 54 ... 55 */ 56 #undef USEBcol /* not working yet! e.g., mpirun -np 3 ex92 -mat_size 100 -nd 1 (02/24/2004) */ 57 #undef __FUNCT__ 58 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ_Once" 59 static int MatIncreaseOverlap_MPISBAIJ_Once(Mat C,int is_max,IS is[]) 60 { 61 Mat_MPISBAIJ *c = (Mat_MPISBAIJ*)C->data; 62 int len,idx,*idx_i,isz,col,*n,*data1,**data1_start,*data2,*data2_i,*data,*data_i, 63 size,rank,Mbs,i,j,k,ierr,nrqs,*odata1,*odata2, 64 tag1,tag2,flag,proc_id,**odata2_ptr,waits_idx,*ctable=0,*btable,len_b; 65 int nrqr,*id_r1,*len_r1,proc_end,*iwork,*len_s,*data1_i; 66 char *t_p; 67 MPI_Comm comm; 68 MPI_Request *s_waits1,*s_waits2,r_req,*r_waits1; 69 MPI_Status *s_status,r_status; 70 PetscBT *table=0; /* mark indices of this processor's is[] */ 71 PetscBT table_i; 72 PetscBT otable; /* mark indices of other processors' is[] */ 73 74 PetscFunctionBegin; 75 76 comm = C->comm; 77 size = c->size; 78 rank = c->rank; 79 Mbs = c->Mbs; 80 81 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 82 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 83 84 /* 1. Send this processor's is[] to other processors */ 85 /*---------------------------------------------------*/ 86 ierr = PetscMalloc(is_max*sizeof(int),&n);CHKERRQ(ierr); 87 len = 0; 88 for (i=0; i<is_max; i++) { 89 ierr = ISGetLocalSize(is[i],&n[i]);CHKERRQ(ierr); 90 len += n[i]; 91 } 92 if (len == 0) { 93 is_max = 0; 94 } else { 95 len += 1 + is_max; /* max length of data1 for one processor */ 96 } 97 /* ierr = PetscPrintf(PETSC_COMM_SELF, " [%d] len=%d, is_max: %d\n",rank,len,is_max); */ 98 99 ierr = PetscMalloc(size*3*sizeof(int),&len_s);CHKERRQ(ierr); 100 btable = len_s + size; 101 iwork = btable + size; 102 103 ierr = PetscMalloc((size*len+1)*sizeof(int),&data1);CHKERRQ(ierr); 104 ierr = PetscMalloc(size*sizeof(int*),&data1_start);CHKERRQ(ierr); 105 for (i=0; i<size; i++) data1_start[i] = data1 + i*len; 106 107 if (is_max){ 108 /* create hash table ctable which maps c->row to proc_id) */ 109 ierr = PetscMalloc(Mbs*sizeof(int),&ctable);CHKERRQ(ierr); 110 for (proc_id=0,j=0; proc_id<size; proc_id++) { 111 for (; j<c->rowners[proc_id+1]; j++) { 112 ctable[j] = proc_id; 113 } 114 } 115 116 /* create tables for marking indices */ 117 len_b = is_max*sizeof(PetscBT) + (Mbs/PETSC_BITS_PER_BYTE+1)*is_max*sizeof(char) + 1; 118 ierr = PetscMalloc(len_b,&table);CHKERRQ(ierr); 119 t_p = (char *)(table + is_max); 120 for (i=0; i<is_max; i++) { 121 table[i] = t_p + (Mbs/PETSC_BITS_PER_BYTE+1)*i; 122 } 123 124 #ifdef USEBcol 125 Vec vfrom_mpi,vto_seq; 126 int bs=c->bs,Bn = c->B->n,Bnbs = Bn/bs,N,low,*Bowners; 127 PetscScalar garray[Bnbs],*array; 128 #ifdef NEW 129 IS is_local,is_gl; 130 ierr = ISCreateGeneral(comm,Bnbs,c->garray,&is_local);CHKERRQ(ierr); 131 ierr = ISAllGather(is_local, &is_gl);CHKERRQ(ierr); 132 if (rank == 1){ 133 ierr = ISView(is_gl,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); 134 } 135 ierr = ISDestroy(is_gl); 136 ierr = ISDestroy(is_local); 137 138 #endif /* NEW */ 139 /* create vfrom_mpi, a mpi vector holding local B->garray */ 140 for (i=0; i<Bnbs; i++) garray[i] = c->garray[i]; 141 ierr = VecCreateMPIWithArray(comm,Bnbs,PETSC_DECIDE,garray,&vfrom_mpi);CHKERRQ(ierr); 142 143 /* create vto_seq, a seq vector for holding B->garray of all processors */ 144 ierr = VecGetSize(vfrom_mpi,&N);CHKERRQ(ierr); 145 ierr = VecGetOwnershipRange(vfrom_mpi,&low,PETSC_NULL);CHKERRQ(ierr); 146 147 ierr = PetscMalloc((size+1)*sizeof(int),&Bowners);CHKERRQ(ierr); 148 ierr = MPI_Allgather(&low,1,MPI_INT,Bowners,1,MPI_INT,comm);CHKERRQ(ierr); 149 Bowners[size] = N; 150 ierr = VecConvertMPIToSeqAll(vfrom_mpi,&vto_seq);CHKERRQ(ierr); 151 152 if (rank == 0){ 153 /* ierr = VecView(vto_seq,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr); */ 154 for (i = 0; i<=size; i++){ 155 ierr = PetscPrintf(PETSC_COMM_SELF," Bowners[%d]=%d, N=%d\n",i,Bowners[i],N); 156 } 157 } 158 ierr = VecDestroy(vfrom_mpi);CHKERRQ(ierr); 159 #endif 160 161 #ifdef USEBcol 162 /* hash table table_i[idx] = 1 if idx is an index of one of the is[] array 163 = 0 otherwise */ 164 table_i = table[0]; 165 ierr = PetscBTMemzero(Mbs,table_i);CHKERRQ(ierr); 166 for (i=0; i<is_max; i++){ 167 ierr = ISGetIndices(is[i],&idx_i);CHKERRQ(ierr); 168 for (j=0; j<n[i]; j++){ 169 idx = idx_i[j]; 170 ierr = PetscBTSet(table_i,idx);CHKERRQ(ierr); 171 } 172 ierr = ISRestoreIndices(is[i],&idx_i);CHKERRQ(ierr); 173 } 174 175 ierr = VecGetArray(vto_seq,&array); 176 for (i=0; i<size; i++){ 177 btable[i] = 0; 178 for (j = Bowners[i]; j<Bowners[i+1]; j++){ /* go through B cols */ 179 idx = (int)array[j]; 180 if(PetscBTLookup(table_i,idx)){ 181 btable[i] = 1; 182 break; 183 } 184 } 185 186 if (!btable[i]){ /* go through A cols */ 187 for (j = c->rowners[i]; j<c->rowners[i+1]; j++){ 188 if(PetscBTLookup(table_i,j)){ 189 btable[i] = 1; 190 break; 191 } 192 } 193 } 194 } 195 if (rank == 1){ 196 for (i=0; i<size; i++) printf(" %d\n",btable[i]); 197 } 198 ierr = VecRestoreArray(vto_seq,&array);CHKERRQ(ierr); 199 ierr = PetscFree(Bowners);CHKERRQ(ierr); 200 ierr = VecDestroy(vto_seq);CHKERRQ(ierr); 201 #endif 202 } /* if (is_max) */ 203 204 /* evaluate communication - mesg to who, length, and buffer space */ 205 for (i=0; i<size; i++) { 206 len_s[i] = 0; 207 } 208 209 /* header of data1 */ 210 for (proc_id=0; proc_id<size; proc_id++){ 211 iwork[proc_id] = 0; 212 *data1_start[proc_id] = is_max; 213 data1_start[proc_id]++; 214 for (j=0; j<is_max; j++) { 215 if (proc_id == rank){ 216 *data1_start[proc_id] = n[j]; 217 } else { 218 *data1_start[proc_id] = 0; 219 } 220 data1_start[proc_id]++; 221 } 222 } 223 224 for (i=0; i<is_max; i++) { 225 ierr = ISGetIndices(is[i],&idx_i);CHKERRQ(ierr); 226 ierr = PetscSortInt(n[i],idx_i);CHKERRQ(ierr); 227 for (j=0; j<n[i]; j++){ 228 idx = idx_i[j]; 229 *data1_start[rank] = idx; data1_start[rank]++; /* for local proccessing */ 230 proc_end = ctable[idx]; 231 for (proc_id=0; proc_id<=proc_end; proc_id++){ /* for others to process */ 232 if (proc_id != rank ){ 233 #ifdef USEBcol 234 if ( (proc_id < proc_end && btable[proc_id]) || proc_id == proc_end){ 235 #endif 236 *data1_start[proc_id] = idx; data1_start[proc_id]++; 237 len_s[proc_id]++; 238 #ifdef USEBcol 239 } 240 #endif 241 } 242 } 243 } 244 245 /* update header data */ 246 for (proc_id=0; proc_id<=proc_end; proc_id++){ 247 if (proc_id== rank) continue; 248 *(data1 + proc_id*len + 1 + i) = len_s[proc_id] - iwork[proc_id]; 249 iwork[proc_id] = len_s[proc_id] ; 250 } 251 252 ierr = ISRestoreIndices(is[i],&idx_i);CHKERRQ(ierr); 253 } /* for (i=0; i<is_max; i++) */ 254 255 nrqs = 0; nrqr = 0; 256 for (i=0; i<size; i++){ 257 data1_start[i] = data1 + i*len; 258 if (len_s[i]){ 259 nrqs++; 260 len_s[i] += 1 + is_max; /* add no. of header msg */ 261 } 262 } 263 264 for (i=0; i<is_max; i++) { 265 ierr = ISDestroy(is[i]);CHKERRQ(ierr); 266 } 267 ierr = PetscFree(n);CHKERRQ(ierr); 268 if (ctable){ierr = PetscFree(ctable);CHKERRQ(ierr);} 269 270 /* Determine the number of messages to expect, their lengths, from from-ids */ 271 ierr = PetscGatherNumberOfMessages(comm,PETSC_NULL,len_s,&nrqr);CHKERRQ(ierr); 272 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,len_s,&id_r1,&len_r1);CHKERRQ(ierr); 273 /* ierr = PetscPrintf(PETSC_COMM_SELF, "[%d] nrqs: %d, nrqr: %d\n",rank,nrqs,nrqr); */ 274 275 /* Now post the sends */ 276 ierr = PetscMalloc(2*size*sizeof(MPI_Request),&s_waits1);CHKERRQ(ierr); 277 s_waits2 = s_waits1 + size; 278 k = 0; 279 for (proc_id=0; proc_id<size; proc_id++){ /* send data1 to processor [proc_id] */ 280 if (len_s[proc_id]){ 281 ierr = MPI_Isend(data1_start[proc_id],len_s[proc_id],MPI_INT,proc_id,tag1,comm,s_waits1+k);CHKERRQ(ierr); 282 k++; 283 } 284 } 285 ierr = PetscFree(data1_start);CHKERRQ(ierr); 286 287 /* 2. Do local work on this processor's is[] */ 288 /*-------------------------------------------*/ 289 ierr = PetscBTCreate(Mbs,otable);CHKERRQ(ierr); 290 ierr = MatIncreaseOverlap_MPISBAIJ_Local(C,data1,MINE,&data,table);CHKERRQ(ierr); 291 292 /* 3. Receive other's is[] and process. Then send back */ 293 /*-----------------------------------------------------*/ 294 len = 0; 295 for (i=0; i<nrqr; i++){ 296 if (len_r1[i] > len)len = len_r1[i]; 297 /* ierr = PetscPrintf(PETSC_COMM_SELF, "[%d] expect to recv len=%d from [%d]\n",rank,len_r1[i],id_r1[i]); */ 298 } 299 ierr = PetscMalloc((len+1)*sizeof(int),&odata1);CHKERRQ(ierr); 300 ierr = PetscMalloc(size*sizeof(int**),&odata2_ptr);CHKERRQ(ierr); 301 k = 0; 302 while (k < nrqr){ 303 /* Receive messages */ 304 ierr = MPI_Iprobe(MPI_ANY_SOURCE,tag1,comm,&flag,&r_status);CHKERRQ(ierr); 305 if (flag){ 306 ierr = MPI_Get_count(&r_status,MPI_INT,&len);CHKERRQ(ierr); 307 proc_id = r_status.MPI_SOURCE; 308 ierr = MPI_Irecv(odata1,len,MPI_INT,proc_id,r_status.MPI_TAG,comm,&r_req);CHKERRQ(ierr); 309 ierr = MPI_Wait(&r_req,&r_status);CHKERRQ(ierr); 310 /* ierr = PetscPrintf(PETSC_COMM_SELF, " [%d] recv %d from [%d]\n",rank,len,proc_id); */ 311 312 /* Process messages */ 313 ierr = MatIncreaseOverlap_MPISBAIJ_Local(C,odata1,OTHER,&odata2_ptr[k],&otable);CHKERRQ(ierr); 314 odata2 = odata2_ptr[k]; 315 len = 1 + odata2[0]; 316 for (i=0; i<odata2[0]; i++){ 317 len += odata2[1 + i]; 318 } 319 320 /* Send messages back */ 321 ierr = MPI_Isend(odata2,len,MPI_INT,proc_id,tag2,comm,s_waits2+k);CHKERRQ(ierr); 322 /* ierr = PetscPrintf(PETSC_COMM_SELF," [%d] send %d back to [%d] \n",rank,len,proc_id); */ 323 k++; 324 } 325 } 326 ierr = PetscFree(odata1);CHKERRQ(ierr); 327 328 /* 4. Receive work done on other processors, then merge */ 329 /*--------------------------------------------------------*/ 330 /* Allocate memory for incoming data */ 331 len = (1+is_max*(Mbs+1)); 332 ierr = PetscMalloc(len*sizeof(int),&data2);CHKERRQ(ierr); 333 334 k = 0; 335 while (k < nrqs){ 336 /* Receive messages */ 337 ierr = MPI_Iprobe(MPI_ANY_SOURCE,tag2,comm,&flag,&r_status); 338 if (flag){ 339 ierr = MPI_Get_count(&r_status,MPI_INT,&len);CHKERRQ(ierr); 340 proc_id = r_status.MPI_SOURCE; 341 ierr = MPI_Irecv(data2,len,MPI_INT,proc_id,r_status.MPI_TAG,comm,&r_req);CHKERRQ(ierr); 342 ierr = MPI_Wait(&r_req,&r_status);CHKERRQ(ierr); 343 /* ierr = PetscPrintf(PETSC_COMM_SELF," [%d] recv %d from [%d], data2:\n",rank,len,proc_id); */ 344 if (len > 1+is_max){ /* Add data2 into data */ 345 data2_i = data2 + 1 + is_max; 346 for (i=0; i<is_max; i++){ 347 table_i = table[i]; 348 data_i = data + 1 + is_max + Mbs*i; 349 isz = data[1+i]; 350 for (j=0; j<data2[1+i]; j++){ 351 col = data2_i[j]; 352 if (!PetscBTLookupSet(table_i,col)) {data_i[isz++] = col;} 353 } 354 data[1+i] = isz; 355 if (i < is_max - 1) data2_i += data2[1+i]; 356 } 357 } 358 k++; 359 } 360 } 361 362 /* phase 1 sends are complete */ 363 ierr = PetscMalloc(size*sizeof(MPI_Status),&s_status);CHKERRQ(ierr); 364 if (nrqs){ 365 ierr = MPI_Waitall(nrqs,s_waits1,s_status);CHKERRQ(ierr); 366 } 367 ierr = PetscFree(data1);CHKERRQ(ierr); 368 369 /* phase 3 sends are complete */ 370 if (nrqr){ 371 ierr = MPI_Waitall(nrqr,s_waits2,s_status);CHKERRQ(ierr); 372 } 373 for (k=0; k<nrqr; k++){ 374 ierr = PetscFree(odata2_ptr[k]);CHKERRQ(ierr); 375 } 376 ierr = PetscFree(odata2_ptr);CHKERRQ(ierr); 377 378 /* 5. Create new is[] */ 379 /*--------------------*/ 380 for (i=0; i<is_max; i++) { 381 data_i = data + 1 + is_max + Mbs*i; 382 ierr = ISCreateGeneral(PETSC_COMM_SELF,data[1+i],data_i,is+i);CHKERRQ(ierr); 383 } 384 385 ierr = PetscFree(data2);CHKERRQ(ierr); 386 ierr = PetscFree(data);CHKERRQ(ierr); 387 ierr = PetscFree(s_waits1);CHKERRQ(ierr); 388 ierr = PetscFree(s_status);CHKERRQ(ierr); 389 if (table) {ierr = PetscFree(table);CHKERRQ(ierr);} 390 ierr = PetscBTDestroy(otable);CHKERRQ(ierr); 391 392 ierr = PetscFree(len_s);CHKERRQ(ierr); 393 ierr = PetscFree(id_r1);CHKERRQ(ierr); 394 ierr = PetscFree(len_r1);CHKERRQ(ierr); 395 396 PetscFunctionReturn(0); 397 } 398 399 #undef __FUNCT__ 400 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ_Local" 401 /* 402 MatIncreaseOverlap_MPISBAIJ_Local - Called by MatIncreaseOverlap, to do 403 the work on the local processor. 404 405 Inputs: 406 C - MAT_MPISBAIJ; 407 data - holds is[]. See MatIncreaseOverlap_MPISBAIJ_Once() for the format. 408 whose - whose is[] to be processed, 409 MINE: this processor's is[] 410 OTHER: other processor's is[] 411 Output: 412 data_new - whose = MINE: 413 holds input and newly found indices in the same format as data 414 whose = OTHER: 415 only holds the newly found indices 416 table - table[i]: mark the indices of is[i], i=0,...,is_max. Used only in the case 'whose=MINE'. 417 */ 418 static int MatIncreaseOverlap_MPISBAIJ_Local(Mat C,int *data,int whose,int **data_new,PetscBT *table) 419 { 420 Mat_MPISBAIJ *c = (Mat_MPISBAIJ*)C->data; 421 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)(c->A)->data; 422 Mat_SeqBAIJ *b = (Mat_SeqBAIJ*)(c->B)->data; 423 int ierr,row,mbs,Mbs,*nidx,*nidx_i,col,isz,isz0,*ai,*aj,*bi,*bj,*garray,rstart,l; 424 int a_start,a_end,b_start,b_end,i,j,k,is_max,*idx_i,n; 425 PetscBT table0; /* mark the indices of input is[] for look up */ 426 PetscBT table_i; /* poits to i-th table. When whose=OTHER, a single table is used for all is[] */ 427 428 PetscFunctionBegin; 429 Mbs = c->Mbs; mbs = a->mbs; 430 ai = a->i; aj = a->j; 431 bi = b->i; bj = b->j; 432 garray = c->garray; 433 rstart = c->rstart; 434 is_max = data[0]; 435 436 ierr = PetscBTCreate(Mbs,table0);CHKERRQ(ierr); 437 438 ierr = PetscMalloc((1+is_max*(Mbs+1))*sizeof(int),&nidx);CHKERRQ(ierr); 439 nidx[0] = is_max; 440 441 idx_i = data + is_max + 1; /* ptr to input is[0] array */ 442 nidx_i = nidx + is_max + 1; /* ptr to output is[0] array */ 443 for (i=0; i<is_max; i++) { /* for each is */ 444 isz = 0; 445 n = data[1+i]; /* size of input is[i] */ 446 447 /* initialize table_i, set table0 */ 448 if (whose == MINE){ /* process this processor's is[] */ 449 table_i = table[i]; 450 nidx_i = nidx + 1+ is_max + Mbs*i; 451 } else { /* process other processor's is[] - only use one temp table */ 452 table_i = *table; 453 } 454 ierr = PetscBTMemzero(Mbs,table_i);CHKERRQ(ierr); 455 ierr = PetscBTMemzero(Mbs,table0);CHKERRQ(ierr); 456 if (n > 0) { 457 isz0 = 0; 458 for (j=0; j<n; j++){ 459 col = idx_i[j]; 460 if (col >= Mbs) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"index col %d >= Mbs %d",col,Mbs); 461 if(!PetscBTLookupSet(table_i,col)) { 462 ierr = PetscBTSet(table0,col);CHKERRQ(ierr); 463 if (whose == MINE) {nidx_i[isz0] = col;} 464 isz0++; 465 } 466 } 467 468 if (whose == MINE) {isz = isz0;} 469 k = 0; /* no. of indices from input is[i] that have been examined */ 470 for (row=0; row<mbs; row++){ 471 a_start = ai[row]; a_end = ai[row+1]; 472 b_start = bi[row]; b_end = bi[row+1]; 473 if (PetscBTLookup(table0,row+rstart)){ /* row is on input is[i]: 474 do row search: collect all col in this row */ 475 for (l = a_start; l<a_end ; l++){ /* Amat */ 476 col = aj[l] + rstart; 477 if (!PetscBTLookupSet(table_i,col)) {nidx_i[isz++] = col;} 478 } 479 for (l = b_start; l<b_end ; l++){ /* Bmat */ 480 col = garray[bj[l]]; 481 if (!PetscBTLookupSet(table_i,col)) {nidx_i[isz++] = col;} 482 } 483 k++; 484 if (k >= isz0) break; /* for (row=0; row<mbs; row++) */ 485 } else { /* row is not on input is[i]: 486 do col serach: add row onto nidx_i if there is a col in nidx_i */ 487 for (l = a_start; l<a_end ; l++){ /* Amat */ 488 col = aj[l] + rstart; 489 if (PetscBTLookup(table0,col)){ 490 if (!PetscBTLookupSet(table_i,row+rstart)) {nidx_i[isz++] = row+rstart;} 491 break; /* for l = start; l<end ; l++) */ 492 } 493 } 494 for (l = b_start; l<b_end ; l++){ /* Bmat */ 495 col = garray[bj[l]]; 496 if (PetscBTLookup(table0,col)){ 497 if (!PetscBTLookupSet(table_i,row+rstart)) {nidx_i[isz++] = row+rstart;} 498 break; /* for l = start; l<end ; l++) */ 499 } 500 } 501 } 502 } 503 } /* if (n > 0) */ 504 505 if (i < is_max - 1){ 506 idx_i += n; /* ptr to input is[i+1] array */ 507 nidx_i += isz; /* ptr to output is[i+1] array */ 508 } 509 nidx[1+i] = isz; /* size of new is[i] */ 510 } /* for each is */ 511 *data_new = nidx; 512 ierr = PetscBTDestroy(table0);CHKERRQ(ierr); 513 514 PetscFunctionReturn(0); 515 } 516 517 518